Vertical characteristics revealed by biweekly and synoptic variability of upper sea temperature in the northern South China Sea

On the basis of the analysis of the sea temperature data that are observed from the three automatic temperature line acquisition sysem mooring buoys deployed in the central South China Sea (SCS) during South China Sea monsoon experiment, vertical features of biweekly and synoptic variability are discussed. There are five vertical modes, that is, subsurface temperature variability is in phase with,out of phase with, leads to, lags the surface temperature variability, and at depths within the subsurface layer the upper and lower temperature variations are out of phase. The formation of these vertical modes is related to the property of low-level atmospheric forcing and to the background in atmosphere and ocean. Wind stress curl is the main driving factor in forming Modes 1 and 3, and wind stresses in forming Modes 2 and 4.     

基于局部回波幅值统计的海杂波背景下小目标检测

针对传统舰载雷达和岸基雷达很难检测出海杂波背景下小目标的现状,提出一种基于局部回波幅值统计的方法来检测海杂波背景下小目标.该算法基于数学统计思想:计算不同距离单元海杂波的幅值的最大值和标准偏差,分析发现距离单元含有小目标回波的最大幅值明显小于其它距离单元只含有海杂波回波的最大幅值,距离单元含有小目标回波的幅值的标准偏差明显大于距离单元只含有海杂波回波的幅值的标准偏差,因此可以在对小目标没有任何先验知识条件下,较准确地检测出海杂波背景下的小目标.实验证明,该算法是有效的.     

改进型经验正交函数海洋声速剖面预报方法

鉴于深海温跃层以下往往声速值缺乏,声速剖面不完整的原因,提出一种声速剖面的预报方法:在传统经验正交函数预报法基础上,首先改进协方差矩阵的求解方法,将原始数据的空间信息和时间信息有效地融合到协方差矩阵中,通过由大量实测数据统计得出的时间函数的经验公式,得到合成剖面,将二者结合,把不完整剖面垂直向下延拓到海底,较为有效地解决了传统方法求解协方差矩阵和时间函数较粗糙的问题,给出了完整的海洋声速剖面的准确预报.实测数据检验结果表明,改进方法的预报精度比传统方法有了很大提高.     

低聚羧甲基壳聚糖的抗氧化性能

将低聚壳聚糖(chitosan oligosaccharide,COS)醚化得到O-羧甲基壳聚糖(O-carboxymethyl chito-sanolig osaccharide,O-CMCOS)和N-羧甲基壳聚糖(N-carboxymethyl chitosanolig osaccharide,N-CMCOS),其取代度(substituting degree,DS)均为0.54,用红外光谱对其结构进行表征。同时,考察了其结构对超氧阴离子的清除活性以及还原能力。结果表明,COS及其衍生物清除超氧阴离子的活性及还原能力的强弱顺序均为:O-CMCOSCOSN-CMCOS。     

基于分段副产物瞬时选择性的反应器网络综合

针对第三类反应体系的反应器网络综合问题,提出将串联反应以反应物到目的产物的反应步数为依据的新分段策略。通过比较不分段目的产物、不分段目的产物和中间产品、分段副产物和分段目的产物这四种不同的瞬时选择性,提出以分段副产物瞬时选择性为参数,以其对关键组分浓度或转化率的导数为依据选择各阶段最合适的反应器,以目的产物总选择性最大为目标采用遗传算法优化反应器网络。通过三个实例验证了本文所建立方法在解决复杂反应反应器网络综合问题的有效性,且本方法同样适用于简单反应体系。     

Study of tide prediction method influenced by nonperiodic factors based on support vector machines

Harmonic analysis, the traditional tidal forecasting method, cannot take into account the impact of noncyclical factors, and is also based on the BP neural network tidal prediction model which is easily limited by the amount of data. According to the movement of celestial bodies, and considering the insufficient tidal characteristics of historical data which are impacted by the nonperiodic weather, a tidal prediction method is designed based on support vector machine (SVM) to carry out the simulation experiment by using tidal data from Xiamen Tide Gauge, Luchaogang Tide Gauge and Weifang Tide Gauge individually. And the results show that the model satisfactorily carries out the tide prediction which is influenced by noncyclical factors. At the same time, it also proves that the proposed prediction method, which when compared with harmonic analysis method and the BP neural network method, has faster modeling speed, higher prediction precision and stronger generalization ability.     

中国近海海洋光学特性及其分布

在"我国近海海洋综合调查与评价"的光学调查项目中,通过2006年夏季、冬季和2007年春季、秋季的中国近海海洋光学调查试验,获取了表观光学资料、固有光学资料和相应的辅助资料。利用这些数据,开展了中国近海海洋光学特性及其分布研究工作。(1)通过分析特征波段遥感反射比(Rrs(412)和Rrs(490))的分布情况,发现主要河口有着明显的区域性和季节性变化特点。(2)通过分析遥感反射比光谱资料,发现了不同区域遥感反射比光谱体现了不同的特点,而且成因不同。(3)通过分析400nm水色要素吸收系数分布情况,发现了河流陆源物质输入对近岸非色素颗粒物分布特性有重要影响,其次对黄色物质也有很大的影响,而浮游植物及其腐烂降解的产物对水体中黄色物质浓度产生的影响不大。(4)通过分析400nm水色三要素吸收系数占总吸收系数比例,发现不同海区光学特性的主要影响要素也各不相同。     

海洋微微型蓝藻与异养细菌相互作用的研究进展

菌藻相互作用是海洋生态学领域研究的重要方向之一.海洋微微型蓝藻(Marine picocyanobacteria)是遍布全球海洋的重要初级生产者,在全球碳循环和微食物网中发挥重要作用.原绿球藻属(Prochlorococcus)和聚球藻属(Synechococcus)是海洋微微型蓝藻最重要的两个类群.原位调查和培养实验...     

Study of A Geo-Acoustic Model of Gas-Bearing Sediment and Its Application in Sediment with Low Acoustic Velocity

A new geo-acoustic model for gas-bearing sediment is proposed based on the work of Dvorkin and Prasad, and Biot theory. Only five geophysical parameters: sediment mineral composition, free gas saturation, tortuosity (also known as the structure factor), permeability, and porosity, are considered in the model. A benefit of this model is that we need only five parameters instead of ten parameters in the Biot’s formulas for acoustic velocity and attenuation calculation. Here the model is demonstrated with the in-situ experimental data collected from the Hangzhou Bay, China. The results of this study suggest that free gas content in sediment is the most critical condition resulting in a low acoustic velocity (compressional wave). The respective contributions of the other four parameters in the model are also discussed.